Console Output

Started by user Thorsten Vitt
Building remotely on Rechenknecht in workspace /mnt/data/jenkins/workspace/DARIAH-Topics
Cloning the remote Git repository
Cloning repository https://github.com/DARIAH-DE/Topics
 > /usr/bin/git init /mnt/data/jenkins/workspace/DARIAH-Topics # timeout=10
Fetching upstream changes from https://github.com/DARIAH-DE/Topics
 > /usr/bin/git --version # timeout=10
using GIT_ASKPASS to set credentials 
 > /usr/bin/git fetch --tags --progress https://github.com/DARIAH-DE/Topics +refs/heads/*:refs/remotes/origin/*
 > /usr/bin/git config remote.origin.url https://github.com/DARIAH-DE/Topics # timeout=10
 > /usr/bin/git config --add remote.origin.fetch +refs/heads/*:refs/remotes/origin/* # timeout=10
 > /usr/bin/git config remote.origin.url https://github.com/DARIAH-DE/Topics # timeout=10
Fetching upstream changes from https://github.com/DARIAH-DE/Topics
using GIT_ASKPASS to set credentials 
 > /usr/bin/git fetch --tags --progress https://github.com/DARIAH-DE/Topics +refs/heads/*:refs/remotes/origin/*
 > /usr/bin/git rev-parse refs/remotes/origin/testing^{commit} # timeout=10
 > /usr/bin/git rev-parse refs/remotes/origin/origin/testing^{commit} # timeout=10
Checking out Revision 08f95941bf3af56e68d7b61296131eed6676b1d5 (refs/remotes/origin/testing)
 > /usr/bin/git config core.sparsecheckout # timeout=10
 > /usr/bin/git checkout -f 08f95941bf3af56e68d7b61296131eed6676b1d5
Commit message: "changed decimal places in doc_topics"
 > /usr/bin/git rev-list --no-walk 1e2a12693eefd1e8ed1c266edca3970b45fbdab8 # timeout=10
[DARIAH-Topics] $ /usr/bin/python3 /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenv.py /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9
Using base prefix '/usr'
New python executable in /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/bin/python3
Also creating executable in /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/bin/python
Installing setuptools, pip, wheel...done.
[DARIAH-Topics] $ /bin/sh -xe /tmp/shiningpanda649695069040023291.sh
+ pip install -U pip
Requirement already up-to-date: pip in /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages (10.0.1)
+ pip install -U -r requirements-dev.txt
Obtaining file:///mnt/data/jenkins/workspace/DARIAH-Topics (from -r requirements.txt (line 1))
Collecting pytest (from -r requirements-dev.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/62/59/950a805f90587d6e2f3692cf43700becb7cdf6c16b06d84e7516b199236b/pytest-3.6.0-py2.py3-none-any.whl (194kB)
Collecting pytest-cov (from -r requirements-dev.txt (line 5))
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Collecting pytest-nbsmoke (from -r requirements-dev.txt (line 6))
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Collecting jupyter (from -r requirements-dev.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/83/df/0f5dd132200728a86190397e1ea87cd76244e42d39ec5e88efd25b2abd7e/jupyter-1.0.0-py2.py3-none-any.whl
Collecting sphinx (from -r requirements-dev.txt (line 10))
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Collecting nbsphinx from git+https://github.com/spatialaudio/nbsphinx#egg=nbsphinx (from -r requirements-dev.txt (line 11))
  Cloning https://github.com/spatialaudio/nbsphinx to /tmp/pip-install-1bfz0l4y/nbsphinx
Collecting recommonmark (from -r requirements-dev.txt (line 12))
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Collecting pandas>=0.19.2 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/a5/c1/43966a4ce89d0c64111f46c6364ed57d6d87e6fab7d685dca06197a19cf7/pandas-0.23.0-cp35-cp35m-manylinux1_x86_64.whl (11.6MB)
Collecting regex>=2017.01.14 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/a2/51/c39562cfed3272592c60cfd229e5464d715b78537e332eac2b695422dc49/regex-2018.02.21.tar.gz (620kB)
Collecting gensim>=0.13.2 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/b8/ed/89f9fa9c3a290ebc454249df90891c804c3760cf054d54c5f701f2675122/gensim-3.4.0-cp35-cp35m-manylinux1_x86_64.whl (22.6MB)
Collecting lda>=1.0.5 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Using cached https://files.pythonhosted.org/packages/31/95/91c8de340a9d00322d9b2d81ef9ffac9afc116e8a19ac501c7df55fa0d73/lda-1.0.5-cp35-cp35m-manylinux1_x86_64.whl
Collecting numpy>=1.3 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/7b/61/11b05cc37ccdaabad89f04dbdc2a02905cf6de6f9b05816dba843beed328/numpy-1.14.3-cp35-cp35m-manylinux1_x86_64.whl (12.1MB)
Collecting lxml>=3.6.4 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Using cached https://files.pythonhosted.org/packages/30/65/6dcc7a1a0ec3bbc10a1316b3610f9997ca132183a5f5345c5b88fc1eaf79/lxml-4.2.1-cp35-cp35m-manylinux1_x86_64.whl
Collecting matplotlib>=1.5.3 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/81/31/4e261379e0cd4e9bbacfc96b124ebac0706b44374bd1d34ef899796f741b/matplotlib-2.2.2-cp35-cp35m-manylinux1_x86_64.whl (12.6MB)
Collecting bokeh>=0.12.6 (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/cd/47/201408029628164342e65a4552ee00abc79ea7be1b64031281b81b0e2f4d/bokeh-0.12.16.tar.gz (14.7MB)
Collecting metadata_toolbox (from dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
  Downloading https://files.pythonhosted.org/packages/20/f6/30218493f87bcd084cc9a259ca2be65ca21a32efb4cc505a953374fcef54/metadata_toolbox-0.1.0.dev0.tar.gz
Collecting six>=1.10.0 (from pytest->-r requirements-dev.txt (line 4))
  Using cached https://files.pythonhosted.org/packages/67/4b/141a581104b1f6397bfa78ac9d43d8ad29a7ca43ea90a2d863fe3056e86a/six-1.11.0-py2.py3-none-any.whl
Collecting pluggy<0.7,>=0.5 (from pytest->-r requirements-dev.txt (line 4))
  Using cached https://files.pythonhosted.org/packages/ba/65/ded3bc40bbf8d887f262f150fbe1ae6637765b5c9534bd55690ed2c0b0f7/pluggy-0.6.0-py3-none-any.whl
Collecting more-itertools>=4.0.0 (from pytest->-r requirements-dev.txt (line 4))
  Using cached https://files.pythonhosted.org/packages/85/40/90c3b0393e12b9827381004224de8814686e3d7182f9d4182477f600826d/more_itertools-4.2.0-py3-none-any.whl
Collecting attrs>=17.4.0 (from pytest->-r requirements-dev.txt (line 4))
  Using cached https://files.pythonhosted.org/packages/41/59/cedf87e91ed541be7957c501a92102f9cc6363c623a7666d69d51c78ac5b/attrs-18.1.0-py2.py3-none-any.whl
Collecting atomicwrites>=1.0 (from pytest->-r requirements-dev.txt (line 4))
  Downloading https://files.pythonhosted.org/packages/0a/e8/cd6375e7a59664eeea9e1c77a766eeac0fc3083bb958c2b41ec46b95f29c/atomicwrites-1.1.5-py2.py3-none-any.whl
Collecting py>=1.5.0 (from pytest->-r requirements-dev.txt (line 4))
  Using cached https://files.pythonhosted.org/packages/67/a5/f77982214dd4c8fd104b066f249adea2c49e25e8703d284382eb5e9ab35a/py-1.5.3-py2.py3-none-any.whl
Requirement not upgraded as not directly required: setuptools in /mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages (from pytest->-r requirements-dev.txt (line 4)) (39.2.0)
Collecting coverage>=3.7.1 (from pytest-cov->-r requirements-dev.txt (line 5))
  Using cached https://files.pythonhosted.org/packages/2c/c0/8047b7cbbcdbd7d21f8d68126196b7915da892c5af3d1a99dba082d33ec0/coverage-4.5.1-cp35-cp35m-manylinux1_x86_64.whl
Collecting ipykernel (from pytest-nbsmoke->-r requirements-dev.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/ab/3f/cd624c835aa3336a9110d0a99e15070f343b881b7d651ab1375ef226a3ac/ipykernel-4.8.2-py3-none-any.whl (108kB)
Collecting nbformat (from pytest-nbsmoke->-r requirements-dev.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/da/27/9a654d2b6cc1eaa517d1c5a4405166c7f6d72f04f6e7eea41855fe808a46/nbformat-4.4.0-py2.py3-none-any.whl (155kB)
Collecting nbconvert (from pytest-nbsmoke->-r requirements-dev.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/39/ea/280d6c0d92f8e3ca15fd798bbcc2ea141489f9539de7133d8fe10ea4b049/nbconvert-5.3.1-py2.py3-none-any.whl (387kB)
Collecting jupyter-client (from pytest-nbsmoke->-r requirements-dev.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/94/dd/fe6c4d683b09eb05342bd2816b7779663f71762b4fa9c2d5203d35d17354/jupyter_client-5.2.3-py2.py3-none-any.whl (89kB)
Collecting pyflakes (from pytest-nbsmoke->-r requirements-dev.txt (line 6))
  Downloading https://files.pythonhosted.org/packages/44/98/af7a72c9a543b1487d92813c648cb9b9adfbc96faef5455d60f4439aa99b/pyflakes-2.0.0-py2.py3-none-any.whl (53kB)
Collecting ipywidgets (from jupyter->-r requirements-dev.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/7d/24/fabc09ad81c6071159a4d12d5bfbddcbea69bd9e3b16c3250ef300c0285f/ipywidgets-7.2.1-py2.py3-none-any.whl (106kB)
Collecting notebook (from jupyter->-r requirements-dev.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/c0/66/cfed59f574d03ca5f1b7c5281485a9cc9a0f21342d24e0f057572316dae5/notebook-5.5.0-py2.py3-none-any.whl (8.4MB)
Collecting qtconsole (from jupyter->-r requirements-dev.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/90/ff/047e0dca2627b162866920e7aa93f04523c0ae81e5c67060eec85701992d/qtconsole-4.3.1-py2.py3-none-any.whl (108kB)
Collecting jupyter-console (from jupyter->-r requirements-dev.txt (line 9))
  Downloading https://files.pythonhosted.org/packages/77/82/6469cd7fccf7958cbe5dce2e623f1e3c5e27f1bb1ad36d90519bc2d5d370/jupyter_console-5.2.0-py2.py3-none-any.whl
Collecting docutils>=0.11 (from sphinx->-r requirements-dev.txt (line 10))
  Downloading https://files.pythonhosted.org/packages/36/fa/08e9e6e0e3cbd1d362c3bbee8d01d0aedb2155c4ac112b19ef3cae8eed8d/docutils-0.14-py3-none-any.whl (543kB)
Collecting babel!=2.0,>=1.3 (from sphinx->-r requirements-dev.txt (line 10))
  Downloading https://files.pythonhosted.org/packages/b8/ad/c6f60602d3ee3d92fbed87675b6fb6a6f9a38c223343ababdb44ba201f10/Babel-2.6.0-py2.py3-none-any.whl (8.1MB)
Collecting alabaster<0.8,>=0.7 (from sphinx->-r requirements-dev.txt (line 10))
  Downloading https://files.pythonhosted.org/packages/2e/c3/9b7dcd8548cf2c00531763ba154e524af575e8f36701bacfe5bcadc67440/alabaster-0.7.10-py2.py3-none-any.whl
Collecting imagesize (from sphinx->-r requirements-dev.txt (line 10))
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Collecting requests>=2.0.0 (from sphinx->-r requirements-dev.txt (line 10))
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Collecting pytz>=2011k (from pandas>=0.19.2->dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
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Collecting scipy>=0.18.1 (from gensim>=0.13.2->dariah-topics==1.0.0.dev0->-r requirements.txt (line 1))
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Collecting jsonschema!=2.5.0,>=2.4 (from nbformat->pytest-nbsmoke->-r requirements-dev.txt (line 6))
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Installing collected packages: six, pluggy, more-itertools, attrs, atomicwrites, py, pytest, coverage, pytest-cov, tornado, pyzmq, python-dateutil, ipython-genutils, decorator, traitlets, jupyter-core, jupyter-client, Pygments, parso, jedi, wcwidth, prompt-toolkit, backcall, ptyprocess, pexpect, simplegeneric, pickleshare, ipython, ipykernel, jsonschema, nbformat, entrypoints, MarkupSafe, Jinja2, testpath, pandocfilters, webencodings, html5lib, bleach, mistune, nbconvert, pyflakes, pytest-nbsmoke, terminado, Send2Trash, notebook, widgetsnbextension, ipywidgets, qtconsole, jupyter-console, jupyter, docutils, pytz, babel, alabaster, imagesize, urllib3, idna, certifi, chardet, requests, pyparsing, packaging, sphinxcontrib-websupport, snowballstemmer, sphinx, nbsphinx, commonmark, recommonmark, numpy, pandas, regex, scipy, boto, bz2file, jmespath, botocore, s3transfer, boto3, smart-open, gensim, pbr, lda, lxml, kiwisolver, cycler, matplotlib, PyYAML, bokeh, parse, metadata-toolbox, dariah-topics
  Running setup.py develop for dariah-topics
Successfully installed Jinja2-2.10 MarkupSafe-1.0 PyYAML-3.12 Pygments-2.2.0 Send2Trash-1.5.0 alabaster-0.7.10 atomicwrites-1.1.5 attrs-18.1.0 babel-2.6.0 backcall-0.1.0 bleach-2.1.3 bokeh-0.12.16 boto-2.48.0 boto3-1.7.29 botocore-1.10.29 bz2file-0.98 certifi-2018.4.16 chardet-3.0.4 commonmark-0.5.4 coverage-4.5.1 cycler-0.10.0 dariah-topics decorator-4.3.0 docutils-0.14 entrypoints-0.2.3 gensim-3.4.0 html5lib-1.0.1 idna-2.6 imagesize-1.0.0 ipykernel-4.8.2 ipython-6.4.0 ipython-genutils-0.2.0 ipywidgets-7.2.1 jedi-0.12.0 jmespath-0.9.3 jsonschema-2.6.0 jupyter-1.0.0 jupyter-client-5.2.3 jupyter-console-5.2.0 jupyter-core-4.4.0 kiwisolver-1.0.1 lda-1.0.5 lxml-4.2.1 matplotlib-2.2.2 metadata-toolbox-0.1.0.dev0 mistune-0.8.3 more-itertools-4.2.0 nbconvert-5.3.1 nbformat-4.4.0 nbsphinx-0.3.3 notebook-5.5.0 numpy-1.14.3 packaging-17.1 pandas-0.23.0 pandocfilters-1.4.2 parse-1.8.4 parso-0.2.1 pbr-4.0.3 pexpect-4.6.0 pickleshare-0.7.4 pluggy-0.6.0 prompt-toolkit-1.0.15 ptyprocess-0.5.2 py-1.5.3 pyflakes-2.0.0 pyparsing-2.2.0 pytest-3.6.0 pytest-cov-2.5.1 pytest-nbsmoke-0.1.6 python-dateutil-2.7.3 pytz-2018.4 pyzmq-17.0.0 qtconsole-4.3.1 recommonmark-0.4.0 regex-2018.2.21 requests-2.18.4 s3transfer-0.1.13 scipy-1.1.0 simplegeneric-0.8.1 six-1.11.0 smart-open-1.5.7 snowballstemmer-1.2.1 sphinx-1.7.5 sphinxcontrib-websupport-1.0.1 terminado-0.8.1 testpath-0.3.1 tornado-5.0.2 traitlets-4.3.2 urllib3-1.22 wcwidth-0.1.7 webencodings-0.5.1 widgetsnbextension-3.2.1
+ ./setup.py sdist bdist_wheel
running sdist
running egg_info
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reading manifest file 'dariah_topics.egg-info/SOURCES.txt'
writing manifest file 'dariah_topics.egg-info/SOURCES.txt'
running check
creating dariah_topics-1.0.0.dev0
creating dariah_topics-1.0.0.dev0/dariah_topics
creating dariah_topics-1.0.0.dev0/dariah_topics.egg-info
creating dariah_topics-1.0.0.dev0/test
copying files to dariah_topics-1.0.0.dev0...
copying README.md -> dariah_topics-1.0.0.dev0
copying setup.cfg -> dariah_topics-1.0.0.dev0
copying setup.py -> dariah_topics-1.0.0.dev0
copying dariah_topics/__init__.py -> dariah_topics-1.0.0.dev0/dariah_topics
copying dariah_topics/evaluation.py -> dariah_topics-1.0.0.dev0/dariah_topics
copying dariah_topics/modeling.py -> dariah_topics-1.0.0.dev0/dariah_topics
copying dariah_topics/postprocessing.py -> dariah_topics-1.0.0.dev0/dariah_topics
copying dariah_topics/preprocessing.py -> dariah_topics-1.0.0.dev0/dariah_topics
copying dariah_topics/utils.py -> dariah_topics-1.0.0.dev0/dariah_topics
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copying dariah_topics.egg-info/PKG-INFO -> dariah_topics-1.0.0.dev0/dariah_topics.egg-info
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copying dariah_topics.egg-info/requires.txt -> dariah_topics-1.0.0.dev0/dariah_topics.egg-info
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copying test/test_fuzzy_segmenting.py -> dariah_topics-1.0.0.dev0/test
Writing dariah_topics-1.0.0.dev0/setup.cfg
creating dist
Creating tar archive
removing 'dariah_topics-1.0.0.dev0' (and everything under it)
running bdist_wheel
running build
running build_py
creating build
creating build/lib
creating build/lib/dariah_topics
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copying dariah_topics/preprocessing.py -> build/lib/dariah_topics
copying dariah_topics/utils.py -> build/lib/dariah_topics
copying dariah_topics/postprocessing.py -> build/lib/dariah_topics
copying dariah_topics/evaluation.py -> build/lib/dariah_topics
copying dariah_topics/__init__.py -> build/lib/dariah_topics
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installing to build/bdist.linux-x86_64/wheel
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running install_lib
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creating build/bdist.linux-x86_64/wheel/dariah_topics
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copying build/lib/dariah_topics/utils.py -> build/bdist.linux-x86_64/wheel/dariah_topics
copying build/lib/dariah_topics/postprocessing.py -> build/bdist.linux-x86_64/wheel/dariah_topics
copying build/lib/dariah_topics/evaluation.py -> build/bdist.linux-x86_64/wheel/dariah_topics
copying build/lib/dariah_topics/__init__.py -> build/bdist.linux-x86_64/wheel/dariah_topics
copying build/lib/dariah_topics/visualization.py -> build/bdist.linux-x86_64/wheel/dariah_topics
running install_egg_info
Copying dariah_topics.egg-info to build/bdist.linux-x86_64/wheel/dariah_topics-1.0.0.dev0-py3.5.egg-info
running install_scripts
creating build/bdist.linux-x86_64/wheel/dariah_topics-1.0.0.dev0.dist-info/WHEEL
creating '/mnt/data/jenkins/workspace/DARIAH-Topics/dist/dariah_topics-1.0.0.dev0-py3-none-any.whl' and adding '.' to it
adding 'dariah_topics/__init__.py'
adding 'dariah_topics/evaluation.py'
adding 'dariah_topics/modeling.py'
adding 'dariah_topics/postprocessing.py'
adding 'dariah_topics/preprocessing.py'
adding 'dariah_topics/utils.py'
adding 'dariah_topics/visualization.py'
adding 'dariah_topics-1.0.0.dev0.dist-info/top_level.txt'
adding 'dariah_topics-1.0.0.dev0.dist-info/WHEEL'
adding 'dariah_topics-1.0.0.dev0.dist-info/METADATA'
adding 'dariah_topics-1.0.0.dev0.dist-info/RECORD'
removing build/bdist.linux-x86_64/wheel
/mnt/data/jenkins/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/setuptools/dist.py:398: UserWarning: Normalizing '1.0.0.dev' to '1.0.0.dev0'
  normalized_version,
+ pytest --nbsmoke-run
============================= test session starts ==============================
platform linux -- Python 3.5.3, pytest-3.6.0, py-1.5.3, pluggy-0.6.0
rootdir: /mnt/data/jenkins/workspace/DARIAH-Topics, inifile: setup.cfg
plugins: nbsmoke-0.1.6, cov-2.5.1
collected 57 items

dariah_topics/postprocessing.py ...........                              [ 19%]
dariah_topics/preprocessing.py ...........................               [ 66%]
dariah_topics/utils.py ......                                            [ 77%]
notebooks/IntroducingGensim.ipynb .                                      [ 78%]
notebooks/IntroducingLda.ipynb F                                         [ 80%]
notebooks/IntroducingMallet.ipynb F                                      [ 82%]
notebooks/Visualizations.ipynb F                                         [ 84%]
test/test_fuzzy_segmenting.py ........F                                  [100%]

=================================== FAILURES ===================================
_______________________________________  _______________________________________

self = <CallInfo when='call' exception: An error occurred while executing the following cell:
------------------
meta = pd.co...uteError: 'PosixPath' object has no attribute 'rfind'
AttributeError: 'PosixPath' object has no attribute 'rfind'
>
func = <function call_runtest_hook.<locals>.<lambda> at 0x7fdd00498950>
when = 'call', treat_keyboard_interrupt_as_exception = False

    def __init__(self, func, when, treat_keyboard_interrupt_as_exception=False):
        #: context of invocation: one of "setup", "call",
        #: "teardown", "memocollect"
        self.when = when
        self.start = time()
        try:
>           self.result = func()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:194: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   return CallInfo(lambda: ihook(item=item, **kwds), when=when,
                    treat_keyboard_interrupt_as_exception=item.config.getvalue("usepdb"))

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:179: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_HookCaller 'pytest_runtest_call'>, args = ()
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>}
notincall = set()

    def __call__(self, *args, **kwargs):
        if args:
            raise TypeError("hook calling supports only keyword arguments")
        assert not self.is_historic()
        if self.argnames:
            notincall = set(self.argnames) - set(['__multicall__']) - set(
                kwargs.keys())
            if notincall:
                warnings.warn(
                    "Argument(s) {} which are declared in the hookspec "
                    "can not be found in this hook call"
                    .format(tuple(notincall)),
                    stacklevel=2,
                )
>       return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:617: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_pytest.config.PytestPluginManager object at 0x7fdd2e3c82b0>
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>}

    def _hookexec(self, hook, methods, kwargs):
        # called from all hookcaller instances.
        # enable_tracing will set its own wrapping function at self._inner_hookexec
>       return self._inner_hookexec(hook, methods, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:222: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>}

    self._inner_hookexec = lambda hook, methods, kwargs: \
        hook.multicall(
            methods, kwargs,
>           firstresult=hook.spec_opts.get('firstresult'),
        )

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
                        res = hook_impl.function(*args)
                        if res is not None:
                            results.append(res)
                            if firstresult:  # halt further impl calls
                                break
            except BaseException:
                excinfo = sys.exc_info()
        finally:
            if firstresult:  # first result hooks return a single value
                outcome = _Result(results[0] if results else None, excinfo)
            else:
                outcome = _Result(results, excinfo)
    
            # run all wrapper post-yield blocks
            for gen in reversed(teardowns):
                try:
                    gen.send(outcome)
                    _raise_wrapfail(gen, "has second yield")
                except StopIteration:
                    pass
    
>           return outcome.get_result()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <pluggy.callers._Result object at 0x7fdd0095ad30>

    def get_result(self):
        """Get the result(s) for this hook call.
    
            If the hook was marked as a ``firstresult`` only a single value
            will be returned otherwise a list of results.
            """
        __tracebackhide__ = True
        if self._excinfo is None:
            return self._result
        else:
            ex = self._excinfo
            if _py3:
>               raise ex[1].with_traceback(ex[2])

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:76: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
>                       res = hook_impl.function(*args)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

item = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>

    def pytest_runtest_call(item):
        _update_current_test_var(item, 'call')
        sys.last_type, sys.last_value, sys.last_traceback = (None, None, None)
        try:
>           item.runtest()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingLda.ipynb'>

    def runtest(self):
        self._skip()
        with io.open(self.name,encoding='utf8') as nb:
            notebook = nbformat.read(nb, as_version=4)
    
            # TODO: which kernel? run in pytest's or use new one (make it option)
            _timeout = self.parent.parent.config.getini('cell_timeout')
            kwargs = dict(timeout=int(_timeout) if _timeout!='' else 300,
                          allow_errors=False,
                          # or sys.version_info[1] ?
                          kernel_name='python')
    
            ep = ExecutePreprocessor(**kwargs)
            with cwd(os.path.dirname(self.name)): # jupyter notebook always does this, right?
>               ep.preprocess(notebook,{})

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pytest_nbsmoke.py:136: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdd0095fb70>
nb = {'metadata': {'git': {'suppress_outputs': True}, 'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': '...: 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()', 'metadata': {}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocess notebook executing each code cell.
    
            The input argument `nb` is modified in-place.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being executed.
            resources : dictionary
                Additional resources used in the conversion process. For example,
                passing ``{'metadata': {'path': run_path}}`` sets the
                execution path to ``run_path``.
    
            Returns
            -------
            nb : NotebookNode
                The executed notebook.
            resources : dictionary
                Additional resources used in the conversion process.
            """
        path = resources.get('metadata', {}).get('path', '')
        if path == '':
            path = None
    
        # clear display_id map
        self._display_id_map = {}
    
        # from jupyter_client.manager import start_new_kernel
    
        def start_new_kernel(startup_timeout=60, kernel_name='python', **kwargs):
            km = self.kernel_manager_class(kernel_name=kernel_name)
            km.start_kernel(**kwargs)
            kc = km.client()
            kc.start_channels()
            try:
                kc.wait_for_ready(timeout=startup_timeout)
            except RuntimeError:
                kc.stop_channels()
                km.shutdown_kernel()
                raise
    
            return km, kc
    
        kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
        if self.kernel_name:
            kernel_name = self.kernel_name
        self.log.info("Executing notebook with kernel: %s" % kernel_name)
        self.km, self.kc = start_new_kernel(
            startup_timeout=self.startup_timeout,
            kernel_name=kernel_name,
            extra_arguments=self.extra_arguments,
            cwd=path)
        self.kc.allow_stdin = False
        self.nb = nb
    
        try:
>           nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:262: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdd0095fb70>
nb = {'metadata': {'git': {'suppress_outputs': True}, 'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': '...: 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()', 'metadata': {}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocessing to apply on each notebook.
    
            Must return modified nb, resources.
    
            If you wish to apply your preprocessing to each cell, you might want
            to override preprocess_cell method instead.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being converted
            resources : dictionary
                Additional resources used in the conversion process.  Allows
                preprocessors to pass variables into the Jinja engine.
            """
        for index, cell in enumerate(nb.cells):
>           nb.cells[index], resources = self.preprocess_cell(cell, resources, index)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/base.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdd0095fb70>
cell = {'execution_count': 6, 'outputs': [{'evalue': "'PosixPath' object has no attribute 'rfind'", 'output_type': 'error', '...[:5]' to the variable, only the first 5 elements will be printed", 'metadata': {'scrolled': True}, 'cell_type': 'code'}
resources = {}, cell_index = 16

    def preprocess_cell(self, cell, resources, cell_index):
        """
            Executes a single code cell. See base.py for details.
    
            To execute all cells see :meth:`preprocess`.
            """
        if cell.cell_type != 'code':
            return cell, resources
    
        reply, outputs = self.run_cell(cell, cell_index)
        cell.outputs = outputs
    
        if not self.allow_errors:
            for out in outputs:
                if out.output_type == 'error':
>                   raise CellExecutionError.from_cell_and_msg(cell, out)
E                   nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell:
E                   ------------------
E                   meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                   meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   ------------------
E                   
E                   ---------------------------------------------------------------------------
E                   AttributeError                            Traceback (most recent call last)
E                   <ipython-input-6-9f07ddf53acf> in <module>()
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   <ipython-input-6-9f07ddf53acf> in <listcomp>(.0)
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/metadata_toolbox/utils.py in fname2metadata(fname, pattern)
E                        60     """
E                        61     log.debug("Extracting metadata from filename '{0}' with pattern '{1}' ...".format(fname, pattern))
E                   ---> 62     basename, _ = os.path.splitext(os.path.basename(fname))
E                        63     metadata = parse(pattern, basename)
E                        64     if metadata is not None:
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/posixpath.py in basename(p)
E                       137     """Returns the final component of a pathname"""
E                       138     sep = _get_sep(p)
E                   --> 139     i = p.rfind(sep) + 1
E                       140     return p[i:]
E                       141 
E                   
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:286: CellExecutionError
_______________________________________  _______________________________________

self = <CallInfo when='call' exception: An error occurred while executing the following cell:
------------------
meta = pd.co...uteError: 'PosixPath' object has no attribute 'rfind'
AttributeError: 'PosixPath' object has no attribute 'rfind'
>
func = <function call_runtest_hook.<locals>.<lambda> at 0x7fdcff52dbf8>
when = 'call', treat_keyboard_interrupt_as_exception = False

    def __init__(self, func, when, treat_keyboard_interrupt_as_exception=False):
        #: context of invocation: one of "setup", "call",
        #: "teardown", "memocollect"
        self.when = when
        self.start = time()
        try:
>           self.result = func()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:194: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   return CallInfo(lambda: ihook(item=item, **kwds), when=when,
                    treat_keyboard_interrupt_as_exception=item.config.getvalue("usepdb"))

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:179: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_HookCaller 'pytest_runtest_call'>, args = ()
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>}
notincall = set()

    def __call__(self, *args, **kwargs):
        if args:
            raise TypeError("hook calling supports only keyword arguments")
        assert not self.is_historic()
        if self.argnames:
            notincall = set(self.argnames) - set(['__multicall__']) - set(
                kwargs.keys())
            if notincall:
                warnings.warn(
                    "Argument(s) {} which are declared in the hookspec "
                    "can not be found in this hook call"
                    .format(tuple(notincall)),
                    stacklevel=2,
                )
>       return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:617: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_pytest.config.PytestPluginManager object at 0x7fdd2e3c82b0>
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>}

    def _hookexec(self, hook, methods, kwargs):
        # called from all hookcaller instances.
        # enable_tracing will set its own wrapping function at self._inner_hookexec
>       return self._inner_hookexec(hook, methods, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:222: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>}

    self._inner_hookexec = lambda hook, methods, kwargs: \
        hook.multicall(
            methods, kwargs,
>           firstresult=hook.spec_opts.get('firstresult'),
        )

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
                        res = hook_impl.function(*args)
                        if res is not None:
                            results.append(res)
                            if firstresult:  # halt further impl calls
                                break
            except BaseException:
                excinfo = sys.exc_info()
        finally:
            if firstresult:  # first result hooks return a single value
                outcome = _Result(results[0] if results else None, excinfo)
            else:
                outcome = _Result(results, excinfo)
    
            # run all wrapper post-yield blocks
            for gen in reversed(teardowns):
                try:
                    gen.send(outcome)
                    _raise_wrapfail(gen, "has second yield")
                except StopIteration:
                    pass
    
>           return outcome.get_result()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <pluggy.callers._Result object at 0x7fdcff5ce358>

    def get_result(self):
        """Get the result(s) for this hook call.
    
            If the hook was marked as a ``firstresult`` only a single value
            will be returned otherwise a list of results.
            """
        __tracebackhide__ = True
        if self._excinfo is None:
            return self._result
        else:
            ex = self._excinfo
            if _py3:
>               raise ex[1].with_traceback(ex[2])

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:76: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
>                       res = hook_impl.function(*args)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

item = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>

    def pytest_runtest_call(item):
        _update_current_test_var(item, 'call')
        sys.last_type, sys.last_value, sys.last_traceback = (None, None, None)
        try:
>           item.runtest()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/IntroducingMallet.ipynb'>

    def runtest(self):
        self._skip()
        with io.open(self.name,encoding='utf8') as nb:
            notebook = nbformat.read(nb, as_version=4)
    
            # TODO: which kernel? run in pytest's or use new one (make it option)
            _timeout = self.parent.parent.config.getini('cell_timeout')
            kwargs = dict(timeout=int(_timeout) if _timeout!='' else 300,
                          allow_errors=False,
                          # or sys.version_info[1] ?
                          kernel_name='python')
    
            ep = ExecutePreprocessor(**kwargs)
            with cwd(os.path.dirname(self.name)): # jupyter notebook always does this, right?
>               ep.preprocess(notebook,{})

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pytest_nbsmoke.py:136: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff5ce780>
nb = {'metadata': {'git': {'suppress_outputs': True}, 'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': '...: 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()', 'metadata': {}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocess notebook executing each code cell.
    
            The input argument `nb` is modified in-place.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being executed.
            resources : dictionary
                Additional resources used in the conversion process. For example,
                passing ``{'metadata': {'path': run_path}}`` sets the
                execution path to ``run_path``.
    
            Returns
            -------
            nb : NotebookNode
                The executed notebook.
            resources : dictionary
                Additional resources used in the conversion process.
            """
        path = resources.get('metadata', {}).get('path', '')
        if path == '':
            path = None
    
        # clear display_id map
        self._display_id_map = {}
    
        # from jupyter_client.manager import start_new_kernel
    
        def start_new_kernel(startup_timeout=60, kernel_name='python', **kwargs):
            km = self.kernel_manager_class(kernel_name=kernel_name)
            km.start_kernel(**kwargs)
            kc = km.client()
            kc.start_channels()
            try:
                kc.wait_for_ready(timeout=startup_timeout)
            except RuntimeError:
                kc.stop_channels()
                km.shutdown_kernel()
                raise
    
            return km, kc
    
        kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
        if self.kernel_name:
            kernel_name = self.kernel_name
        self.log.info("Executing notebook with kernel: %s" % kernel_name)
        self.km, self.kc = start_new_kernel(
            startup_timeout=self.startup_timeout,
            kernel_name=kernel_name,
            extra_arguments=self.extra_arguments,
            cwd=path)
        self.kc.allow_stdin = False
        self.nb = nb
    
        try:
>           nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:262: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff5ce780>
nb = {'metadata': {'git': {'suppress_outputs': True}, 'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': '...: 'static_heatmap = PlotDocumentTopics.static_heatmap()\nstatic_heatmap.show()', 'metadata': {}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocessing to apply on each notebook.
    
            Must return modified nb, resources.
    
            If you wish to apply your preprocessing to each cell, you might want
            to override preprocess_cell method instead.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being converted
            resources : dictionary
                Additional resources used in the conversion process.  Allows
                preprocessors to pass variables into the Jinja engine.
            """
        for index, cell in enumerate(nb.cells):
>           nb.cells[index], resources = self.preprocess_cell(cell, resources, index)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/base.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff5ce780>
cell = {'execution_count': 6, 'outputs': [{'evalue': "'PosixPath' object has no attribute 'rfind'", 'output_type': 'error', '...5] # by adding '[:5]' to the variable, only the first 5 elements will be printed", 'metadata': {}, 'cell_type': 'code'}
resources = {}, cell_index = 16

    def preprocess_cell(self, cell, resources, cell_index):
        """
            Executes a single code cell. See base.py for details.
    
            To execute all cells see :meth:`preprocess`.
            """
        if cell.cell_type != 'code':
            return cell, resources
    
        reply, outputs = self.run_cell(cell, cell_index)
        cell.outputs = outputs
    
        if not self.allow_errors:
            for out in outputs:
                if out.output_type == 'error':
>                   raise CellExecutionError.from_cell_and_msg(cell, out)
E                   nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell:
E                   ------------------
E                   meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                   meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   ------------------
E                   
E                   ---------------------------------------------------------------------------
E                   AttributeError                            Traceback (most recent call last)
E                   <ipython-input-6-9f07ddf53acf> in <module>()
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   <ipython-input-6-9f07ddf53acf> in <listcomp>(.0)
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/metadata_toolbox/utils.py in fname2metadata(fname, pattern)
E                        60     """
E                        61     log.debug("Extracting metadata from filename '{0}' with pattern '{1}' ...".format(fname, pattern))
E                   ---> 62     basename, _ = os.path.splitext(os.path.basename(fname))
E                        63     metadata = parse(pattern, basename)
E                        64     if metadata is not None:
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/posixpath.py in basename(p)
E                       137     """Returns the final component of a pathname"""
E                       138     sep = _get_sep(p)
E                   --> 139     i = p.rfind(sep) + 1
E                       140     return p[i:]
E                       141 
E                   
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:286: CellExecutionError
_______________________________________  _______________________________________

self = <CallInfo when='call' exception: An error occurred while executing the following cell:
------------------
meta = pd.co...uteError: 'PosixPath' object has no attribute 'rfind'
AttributeError: 'PosixPath' object has no attribute 'rfind'
>
func = <function call_runtest_hook.<locals>.<lambda> at 0x7fdcff53e730>
when = 'call', treat_keyboard_interrupt_as_exception = False

    def __init__(self, func, when, treat_keyboard_interrupt_as_exception=False):
        #: context of invocation: one of "setup", "call",
        #: "teardown", "memocollect"
        self.when = when
        self.start = time()
        try:
>           self.result = func()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:194: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   return CallInfo(lambda: ihook(item=item, **kwds), when=when,
                    treat_keyboard_interrupt_as_exception=item.config.getvalue("usepdb"))

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:179: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_HookCaller 'pytest_runtest_call'>, args = ()
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
notincall = set()

    def __call__(self, *args, **kwargs):
        if args:
            raise TypeError("hook calling supports only keyword arguments")
        assert not self.is_historic()
        if self.argnames:
            notincall = set(self.argnames) - set(['__multicall__']) - set(
                kwargs.keys())
            if notincall:
                warnings.warn(
                    "Argument(s) {} which are declared in the hookspec "
                    "can not be found in this hook call"
                    .format(tuple(notincall)),
                    stacklevel=2,
                )
>       return self._hookexec(self, self._nonwrappers + self._wrappers, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:617: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <_pytest.config.PytestPluginManager object at 0x7fdd2e3c82b0>
hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}

    def _hookexec(self, hook, methods, kwargs):
        # called from all hookcaller instances.
        # enable_tracing will set its own wrapping function at self._inner_hookexec
>       return self._inner_hookexec(hook, methods, kwargs)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:222: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook = <_HookCaller 'pytest_runtest_call'>
methods = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}

    self._inner_hookexec = lambda hook, methods, kwargs: \
        hook.multicall(
            methods, kwargs,
>           firstresult=hook.spec_opts.get('firstresult'),
        )

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/__init__.py:216: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
                        res = hook_impl.function(*args)
                        if res is not None:
                            results.append(res)
                            if firstresult:  # halt further impl calls
                                break
            except BaseException:
                excinfo = sys.exc_info()
        finally:
            if firstresult:  # first result hooks return a single value
                outcome = _Result(results[0] if results else None, excinfo)
            else:
                outcome = _Result(results, excinfo)
    
            # run all wrapper post-yield blocks
            for gen in reversed(teardowns):
                try:
                    gen.send(outcome)
                    _raise_wrapfail(gen, "has second yield")
                except StopIteration:
                    pass
    
>           return outcome.get_result()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <pluggy.callers._Result object at 0x7fdcff4aeb00>

    def get_result(self):
        """Get the result(s) for this hook call.
    
            If the hook was marked as a ``firstresult`` only a single value
            will be returned otherwise a list of results.
            """
        __tracebackhide__ = True
        if self._excinfo is None:
            return self._result
        else:
            ex = self._excinfo
            if _py3:
>               raise ex[1].with_traceback(ex[2])

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:76: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

hook_impls = [<pluggy.HookImpl object at 0x7fdd2c23aef0>, <pluggy.HookImpl object at 0x7fdd29e111d0>, <pluggy.HookImpl object at 0x7fdd29dd55f8>]
caller_kwargs = {'item': <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>}
firstresult = False

    def _multicall(hook_impls, caller_kwargs, firstresult=False):
        """Execute a call into multiple python functions/methods and return the
        result(s).
    
        ``caller_kwargs`` comes from _HookCaller.__call__().
        """
        __tracebackhide__ = True
        results = []
        excinfo = None
        try:  # run impl and wrapper setup functions in a loop
            teardowns = []
            try:
                for hook_impl in reversed(hook_impls):
                    try:
                        args = [caller_kwargs[argname] for argname in hook_impl.argnames]
                    except KeyError:
                        for argname in hook_impl.argnames:
                            if argname not in caller_kwargs:
                                raise HookCallError(
                                    "hook call must provide argument %r" % (argname,))
    
                    if hook_impl.hookwrapper:
                        try:
                            gen = hook_impl.function(*args)
                            next(gen)   # first yield
                            teardowns.append(gen)
                        except StopIteration:
                            _raise_wrapfail(gen, "did not yield")
                    else:
>                       res = hook_impl.function(*args)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pluggy/callers.py:180: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

item = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>

    def pytest_runtest_call(item):
        _update_current_test_var(item, 'call')
        sys.last_type, sys.last_value, sys.last_traceback = (None, None, None)
        try:
>           item.runtest()

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/_pytest/runner.py:110: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <RunNb '/mnt/data/jenkins/workspace/DARIAH-Topics/notebooks/Visualizations.ipynb'>

    def runtest(self):
        self._skip()
        with io.open(self.name,encoding='utf8') as nb:
            notebook = nbformat.read(nb, as_version=4)
    
            # TODO: which kernel? run in pytest's or use new one (make it option)
            _timeout = self.parent.parent.config.getini('cell_timeout')
            kwargs = dict(timeout=int(_timeout) if _timeout!='' else 300,
                          allow_errors=False,
                          # or sys.version_info[1] ?
                          kernel_name='python')
    
            ep = ExecutePreprocessor(**kwargs)
            with cwd(os.path.dirname(self.name)): # jupyter notebook always does this, right?
>               ep.preprocess(notebook,{})

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/pytest_nbsmoke.py:136: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
nb = {'metadata': {'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'mimetype': 'text/x-pyth...show(interactive_barchart_per_document, notebook_handle=True)", 'metadata': {'scrolled': False}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocess notebook executing each code cell.
    
            The input argument `nb` is modified in-place.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being executed.
            resources : dictionary
                Additional resources used in the conversion process. For example,
                passing ``{'metadata': {'path': run_path}}`` sets the
                execution path to ``run_path``.
    
            Returns
            -------
            nb : NotebookNode
                The executed notebook.
            resources : dictionary
                Additional resources used in the conversion process.
            """
        path = resources.get('metadata', {}).get('path', '')
        if path == '':
            path = None
    
        # clear display_id map
        self._display_id_map = {}
    
        # from jupyter_client.manager import start_new_kernel
    
        def start_new_kernel(startup_timeout=60, kernel_name='python', **kwargs):
            km = self.kernel_manager_class(kernel_name=kernel_name)
            km.start_kernel(**kwargs)
            kc = km.client()
            kc.start_channels()
            try:
                kc.wait_for_ready(timeout=startup_timeout)
            except RuntimeError:
                kc.stop_channels()
                km.shutdown_kernel()
                raise
    
            return km, kc
    
        kernel_name = nb.metadata.get('kernelspec', {}).get('name', 'python')
        if self.kernel_name:
            kernel_name = self.kernel_name
        self.log.info("Executing notebook with kernel: %s" % kernel_name)
        self.km, self.kc = start_new_kernel(
            startup_timeout=self.startup_timeout,
            kernel_name=kernel_name,
            extra_arguments=self.extra_arguments,
            cwd=path)
        self.kc.allow_stdin = False
        self.nb = nb
    
        try:
>           nb, resources = super(ExecutePreprocessor, self).preprocess(nb, resources)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:262: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
nb = {'metadata': {'language_info': {'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'mimetype': 'text/x-pyth...show(interactive_barchart_per_document, notebook_handle=True)", 'metadata': {'scrolled': False}, 'cell_type': 'code'}]}
resources = {}

    def preprocess(self, nb, resources):
        """
            Preprocessing to apply on each notebook.
    
            Must return modified nb, resources.
    
            If you wish to apply your preprocessing to each cell, you might want
            to override preprocess_cell method instead.
    
            Parameters
            ----------
            nb : NotebookNode
                Notebook being converted
            resources : dictionary
                Additional resources used in the conversion process.  Allows
                preprocessors to pass variables into the Jinja engine.
            """
        for index, cell in enumerate(nb.cells):
>           nb.cells[index], resources = self.preprocess_cell(cell, resources, index)

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/base.py:69: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nbconvert.preprocessors.execute.ExecutePreprocessor object at 0x7fdcff4ae0f0>
cell = {'execution_count': 3, 'outputs': [{'evalue': "'PosixPath' object has no attribute 'rfind'", 'output_type': 'error', '...5] # by adding '[:5]' to the variable, only the first 5 elements will be printed", 'metadata': {}, 'cell_type': 'code'}
resources = {}, cell_index = 2

    def preprocess_cell(self, cell, resources, cell_index):
        """
            Executes a single code cell. See base.py for details.
    
            To execute all cells see :meth:`preprocess`.
            """
        if cell.cell_type != 'code':
            return cell, resources
    
        reply, outputs = self.run_cell(cell, cell_index)
        cell.outputs = outputs
    
        if not self.allow_errors:
            for out in outputs:
                if out.output_type == 'error':
>                   raise CellExecutionError.from_cell_and_msg(cell, out)
E                   nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell:
E                   ------------------
E                   meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                   meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   ------------------
E                   
E                   ---------------------------------------------------------------------------
E                   AttributeError                            Traceback (most recent call last)
E                   <ipython-input-3-9f07ddf53acf> in <module>()
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   <ipython-input-3-9f07ddf53acf> in <listcomp>(.0)
E                   ----> 1 meta = pd.concat([metadata.fname2metadata(path, pattern=pattern) for path in path_to_corpus.glob('*.txt')])
E                         2 meta[:5] # by adding '[:5]' to the variable, only the first 5 elements will be printed
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/metadata_toolbox/utils.py in fname2metadata(fname, pattern)
E                        60     """
E                        61     log.debug("Extracting metadata from filename '{0}' with pattern '{1}' ...".format(fname, pattern))
E                   ---> 62     basename, _ = os.path.splitext(os.path.basename(fname))
E                        63     metadata = parse(pattern, basename)
E                        64     if metadata is not None:
E                   
E                   ~/shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/posixpath.py in basename(p)
E                       137     """Returns the final component of a pathname"""
E                       138     sep = _get_sep(p)
E                   --> 139     i = p.rfind(sep) + 1
E                       140     return p[i:]
E                       141 
E                   
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'
E                   AttributeError: 'PosixPath' object has no attribute 'rfind'

../../shiningpanda/jobs/62c67c92/virtualenvs/d41d8cd9/lib/python3.5/site-packages/nbconvert/preprocessors/execute.py:286: CellExecutionError
_________________________________ test_segment _________________________________

    def test_segment():
        """segment convenience wrapper"""
        path = project_path.joinpath('grenzboten_sample', 'Beck_1844_Tagebuch_56.txt')
>       text = path.read_text(encoding='utf-8')

test/test_fuzzy_segmenting.py:102: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/lib/python3.5/pathlib.py:1164: in read_text
    with self.open(mode='r', encoding=encoding, errors=errors) as f:
/usr/lib/python3.5/pathlib.py:1151: in open
    opener=self._opener)
/usr/lib/python3.5/pathlib.py:1005: in _opener
    return self._accessor.open(self, flags, mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

pathobj = PosixPath('/mnt/data/jenkins/workspace/DARIAH-Topics/grenzboten_sample/Beck_1844_Tagebuch_56.txt')
args = (524288, 438)

    @functools.wraps(strfunc)
    def wrapped(pathobj, *args):
>       return strfunc(str(pathobj), *args)
E       FileNotFoundError: [Errno 2] No such file or directory: '/mnt/data/jenkins/workspace/DARIAH-Topics/grenzboten_sample/Beck_1844_Tagebuch_56.txt'

/usr/lib/python3.5/pathlib.py:371: FileNotFoundError
--- generated xml file: /mnt/data/jenkins/workspace/DARIAH-Topics/tests.xml ----

----------- coverage: platform linux, python 3.5.3-final-0 -----------
Coverage HTML written to dir htmlcov
Coverage XML written to file coverage.xml

=============================== warnings summary ===============================
dariah_topics/postprocessing.py::dariah_topics.postprocessing._show_lda_document_topics
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py:1: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
    """

dariah_topics/postprocessing.py::dariah_topics.postprocessing._show_lda_topics
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py:1: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.
    """

dariah_topics/postprocessing.py::dariah_topics.postprocessing.doc2bow
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/postprocessing.py::dariah_topics.postprocessing.save_document_term_matrix
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing._create_large_corpus_model
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing._hapax_legomena_large_corpus_model
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing._remove_features_from_large_corpus_model
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing._stopwords_large_corpus_model
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing.create_document_term_matrix
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing.find_hapax_legomena
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing.find_stopwords
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

dariah_topics/preprocessing.py::dariah_topics.preprocessing.remove_features
  /mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/preprocessing.py:732: FutureWarning: set_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors instead
    document_term_matrix.set_value((document_id, type_id), 0, int(bag_of_words[document_id][type_id]))

-- Docs: http://doc.pytest.org/en/latest/warnings.html
============== 4 failed, 53 passed, 12 warnings in 55.07 seconds ===============
Build step 'Virtualenv Builder' marked build as failure
Recording test results
[Cobertura] Publishing Cobertura coverage report...

[Cobertura] Publishing Cobertura coverage results...

[Cobertura] Cobertura coverage report found.

[Set GitHub commit status (universal)] ERROR on repos [GHRepository@43925ee7[description=A Python library for topic modeling.,homepage=https://dariah-de.github.io/Topics,name=Topics,fork=true,size=42253,milestones={},language=Python,commits={},responseHeaderFields={null=[HTTP/1.1 200 OK], Access-Control-Allow-Origin=[*], Access-Control-Expose-Headers=[ETag, Link, Retry-After, X-GitHub-OTP, X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset, X-OAuth-Scopes, X-Accepted-OAuth-Scopes, X-Poll-Interval], Cache-Control=[private, max-age=60, s-maxage=60], Content-Encoding=[gzip], Content-Security-Policy=[default-src 'none'], Content-Type=[application/json; charset=utf-8], Date=[Wed, 30 May 2018 12:57:40 GMT], ETag=[W/"71601962f23e9582e1b2390e8fd4de38"], Last-Modified=[Tue, 22 May 2018 20:11:01 GMT], OkHttp-Received-Millis=[1527685060085], OkHttp-Response-Source=[CONDITIONAL_CACHE 200], OkHttp-Selected-Protocol=[http/1.1], OkHttp-Sent-Millis=[1527685059893], Referrer-Policy=[origin-when-cross-origin, strict-origin-when-cross-origin], Server=[GitHub.com], Status=[200 OK], Strict-Transport-Security=[max-age=31536000; includeSubdomains; preload], Transfer-Encoding=[chunked], Vary=[Accept, Authorization, Cookie, X-GitHub-OTP], X-Accepted-OAuth-Scopes=[repo], X-Content-Type-Options=[nosniff], X-Frame-Options=[deny], X-GitHub-Media-Type=[github.v3; format=json], X-GitHub-Request-Id=[A6D3:1616:40CF4D1:80DBA9A:5B0E9FC3], X-OAuth-Scopes=[admin:repo_hook, repo, repo:status], X-RateLimit-Limit=[5000], X-RateLimit-Remaining=[4975], X-RateLimit-Reset=[1527687335], X-Runtime-rack=[0.092824], X-XSS-Protection=[1; mode=block]},url=https://api.github.com/repos/DARIAH-DE/Topics,id=69341969]] (sha:08f9594) with context:DARIAH-Topics
Setting commit status on GitHub for https://github.com/DARIAH-DE/Topics/commit/08f95941bf3af56e68d7b61296131eed6676b1d5
[BFA] Scanning build for known causes...
[BFA] No failure causes found
[BFA] Done. 0s
Started calculate disk usage of build
Finished Calculation of disk usage of build in 0 seconds
Started calculate disk usage of workspace
Finished Calculation of disk usage of workspace in 0 seconds
Notifying upstream projects of job completion
[ci-game] evaluating rule: Build result
[ci-game] scored: -10.0
[ci-game] evaluating rule: Increased number of passed tests
[ci-game] evaluating rule: Decreased number of passed tests
[ci-game] evaluating rule: Increased number of failed tests
[ci-game] evaluating rule: Decreased number of failed tests
[ci-game] evaluating rule: Increased number of skipped tests
[ci-game] evaluating rule: Decreased number of skipped tests
[ci-game] evaluating rule: Open HIGH priority tasks
[ci-game] evaluating rule: Open NORMAL priority tasks
[ci-game] evaluating rule: Open LOW priority tasks
[ci-game] evaluating rule: Changed number of compiler warnings
Finished: FAILURE